Barriers and Facilitators to User Engagement and Moderation for Web-Based Peer Support Among Young People: Qualitative Study Using the Behavior Change Wheel Framework.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2025-02-05 DOI:10.2196/64097
Ananya Ananya, Janina Tuuli, Rachel Perowne, Leslie Morrison Gutman
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引用次数: 0

Abstract

Background: Peer support groups or web-based chats for young people offer anonymous peer support in judgment-free spaces, where users may share their thoughts and feelings with others who may have experienced similar situations. User engagement is crucial for effective web-based peer support; however, levels of engagement vary. While moderation of peer support groups can have a positive impact on the engagement of young people, effective moderation can be challenging to implement.

Objective: This study aimed to identify barriers and facilitators to user engagement with, and moderation of, web-based peer support groups among young people aged 16 to 25 years and to provide recommendations for enhancing this service.

Methods: Drawing upon the Theoretical Domains Framework (TDF) and the Behavior Change Wheel (BCW), this study conducted qualitative interviews and gathered open-ended questionnaires from service users and moderators of The Mix, the United Kingdom's leading web-based mental health platform providing peer support groups for young people. Semistructured interviews were conducted with 2 service users and 8 moderators, and open-ended questionnaires were completed by 7 service users. Themes were coded using the Capability, Opportunity, Motivation, and Behavior (COM-B) model and the TDF. The BCW tools were then used to identify relevant behavior change techniques to improve user engagement in, and moderation of, the service.

Results: Thematic analysis revealed a total of 20 inductive themes within 10 TDF domains-9 (45%) for engagement and 11 (55%) for moderation. Of these 20 themes, 3 (15%) were facilitators of engagement, 7 (35%) were facilitators of moderation, 4 (20%) were barriers to moderation, and 6 (30%) barriers to engagement. Results suggest that skills, knowledge, beliefs about consequences, intentions, emotions, and the social and physical environment are important factors influencing service users and moderators of group chats. In particular, supporting the improvement of memory, attention, and decision-making skills of those involved; adapting the physical environment to facilitate effective interactions; and reducing negative emotions are suggested to optimize the value and effectiveness of peer support groups for young people's mental health for both the service users and moderators of these services.

Conclusions: The study demonstrates the effectiveness of the BCW approach and the use of the TDF and COM-B model to understand the influences on behavior in a systematic manner, especially for mental health and well-being interventions. The findings can be applied to design structured interventions to change behaviors related to the engagement with, and moderation of, web-based peer support groups and, in turn, improve mental health outcomes for young people.

青少年网络同伴支持中用户参与和节制的障碍和促进因素:使用行为改变轮框架的定性研究。
背景:年轻人的同伴支持小组或基于网络的聊天在没有评判的空间中提供匿名的同伴支持,用户可以与可能经历过类似情况的其他人分享他们的想法和感受。用户参与对于有效的网络同伴支持至关重要;然而,参与程度各不相同。虽然同伴支持小组的适度调节可以对年轻人的参与产生积极影响,但有效的适度调节可能难以实施。目的:本研究旨在确定16至25岁年轻人参与网络同伴支持小组的障碍和促进因素,并提出加强这项服务的建议。方法:利用理论领域框架(TDF)和行为改变轮(BCW),本研究对the Mix的服务用户和版主进行了定性访谈和开放式问卷调查。the Mix是英国领先的网络心理健康平台,为年轻人提供同伴支持小组。对2名服务用户和8名主持人进行半结构化访谈,对7名服务用户进行开放式问卷调查。使用能力、机会、动机和行为(COM-B)模型和TDF对主题进行编码。然后使用BCW工具来确定相关的行为改变技术,以提高用户对服务的参与度和适度性。结果:主题分析显示,在10个TDF域中共有20个归纳主题,其中9个(45%)用于粘性,11个(55%)用于适度。在这20个主题中,3个(15%)是参与促进因素,7个(35%)是中庸促进因素,4个(20%)是中庸障碍,6个(30%)是参与障碍。结果表明,技能、知识、对结果的信念、意图、情感以及社会和物理环境是影响服务用户和群聊主持人的重要因素。特别是支持参与者的记忆力、注意力和决策能力的提高;调整自然环境以促进有效的互动;通过减少负面情绪,可以优化同伴支持团体对青少年心理健康的价值和效果,无论是对服务使用者还是服务调节者。结论:本研究证明了BCW方法的有效性,以及使用TDF和COM-B模型系统地了解对行为的影响,特别是对心理健康和福祉的干预。研究结果可用于设计结构化干预措施,以改变与网络同伴支持团体的参与和调节相关的行为,进而改善年轻人的心理健康结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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